On days I'm not building machine learning models or trying to understand how they are built or work the way they do, you'll catch me having fun on twitter or writing technical articles about data science/machine learning, health tech or about philosophy generally.
I also have a huge interest in ML research with my research interest lying in Applied ML in lifesciences/healthcare, biotechnology and drug discovery.
I'm an avid lover of books📚 and knowledge generally, so on most days, you'll catch me reading some book, blog, listening to some podcast or watching some youtube video.
Some of my favourite blogs and newsletters include:
- FS blog
- David Perell's blog
- Not Boring Newsletter
- Contents of Andreseen Horowitz website among many others.
My favorite podcasts at the moment also include:
- Towards Datascience Podcast
- Modern Wisdom
- Lex Fridman Podcast
- Master of Scale by Reid Hoffman
- The Knowlge Project
- Revolutionary Left Radio.
You can check them all out on spotify
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🔭 I’m currently working on Recop.it and a monkey-pox visualisation project
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🌱 I’m currently learning Machine learning ops, NLP and more about different neural networks and their variations
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👨💻 All of my projects are available on Github
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📝 I regularly write articles on hashnode
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💬 Ask me about python, data science, machine learning.
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📫 How to reach me [email protected]
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📞 If you will rather book me for a call, then you can do so here.
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📄 Know about my experiences here
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⚡ Fun fact I'm quite funny
- Analysis of personal feedback I got from my friends before my birthday
- REAL-TIME AUTO CONVERSION OF YOUR NOTEBOOKS TO PYTHON SCRIPTS USING JUPYTEXT
- Setting Up A Data Science Project Folder
- Accuracy, Recall and Precision: Understanding When To Use Which and Business importance
- Building a memory-efficient ETL to convert JSON to CSV in Python with prefect
